Lead Analytics Solutions Engineer

University of Arkansas, Fayetteville

Fayetteville, Arkansas, US
Base: $100,000 to $115,000; bonus/equity: not spec...
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Microsoft fabric development
Design scalable data pipelines
Etl/elt design and development
** The University of Arkansas is seeking a Lead Analytics Solutions Engineer responsible for the design and development of cloud-based data solutions, specifically focusing on Microsoft Fabric. The ideal candidate will have strong technical expertise in data engineering, ETL processes, and a collaborative approach to working with various stakeholders within the university. **

Job Summary

  • The Lead Analytics Solutions Engineer provides technical leadership for the design, development, and ongoing operation of the University’s cloud-based data lake and warehousing environment, with a primary focus on Microsoft Fabric.
  • This role is responsible for building scalable, reliable data pipelines and integration solutions that enable enterprise analytics and reporting across academic and administrative units.
  • As an employer, the University of Arkansas offers a vibrant work environment and a workplace culture that promotes a healthy work-life balance.

Matching Summary

Match Score: 75

** The University of Arkansas is seeking a Lead Analytics Solutions Engineer responsible for the design and development of cloud-based data solutions, specifically focusing on Microsoft Fabric. The ideal candidate will have strong technical expertise in data engineering, ETL processes, and a collaborative approach to working with various stakeholders within the university. **

Salary

Base: $100,000 to $115,000; Bonus/Equity: Not specified; Benefits: University contributions to health, dental, life and disability insurance, tuition waivers for employees and their families, 12 official holidays, immediate leave accrual, and a choice of retirement programs with university contributions ranging from 5 to 10% of employee salary.

Skills & Requirements

Must-have

  • Microsoft Fabric development
  • design scalable data pipelines
  • ETL/ELT design and development
  • data lake and warehousing environment
  • data engineering best practices

Nice-to-have

  • technical leadership experience
  • collaborative service-oriented environment
  • strong problem-solving skills
  • mentoring peers and code reviews

Key Requirements

  • Bachelor's degree required
  • Advanced ETL/ELT knowledge
  • Strong code analysis skills
  • Experience with large datasets
  • Change data capture (CDC) knowledge
  • Normalization and dimensional design understanding

Work Rights

Proof of legal authority to work in the United States

Tailored Resume

Cover Letter